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A Novel Image Encryption Algorithm Based on Multiple Chaotic Systems and Self-adaptive Model

机译:一种基于多混沌系统和自适应模型的新型图像加密算法

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摘要

In recent years, image encryption has attracted much attention. Particularly, due to large data capacity and high correlation among pixels, chaos-based image encryption algorithms are more suitable to be applied in the digital image encryption. In this paper, we propose a novel chaotic image encryption algorithm, in which novel multiple chaotic systems and efficient self-adaptive model are initially mingled to enhance the security. Different from conventional algorithms, plaintext participates in the generation of cryptograph in a new way, which follows the idea from the perceptron model. The proposed algorithm enlarges the key space, enhances the randomness of the algorithm, and resists the differential attack effectively. Simulation results are demonstrated that proposed algorithm possesses the high security for the main current attacks, which is an excellent candidate for practical applications of image encryption.
机译:近年来,图像加密引起了很多关注。特别地,由于像素之间的数据容量大和高相关,基于混沌的图像加密算法更适合于数字图像加密应用。在本文中,我们提出了一种新型混沌图像加密算法,其中新颖的多种混沌系统和高效的自适应模型最初混合以增强安全性。与传统算法不同,明文以新的方式参与加密仪的生成,这遵循来自Perceptron模型的想法。所提出的算法放大了关键空间,增强了算法的随机性,并有效地抵抗差异攻击。仿真结果被证明,所提出的算法具有主要目前攻击的高安全性,这是图像加密的实际应用的优秀候选者。

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